dtwSat

Time-Weighted Dynamic Time Warping for satellite image time series analysis

The package dtwSat provides an implementation of the Time-Weighted Dynamic Time Warping (TWDTW) method for land cover mapping using multi-band satellite image time series (Maus et al. 2016, 2019). dtwSat provides full cycle of land cover classification using image time series, ranging from selecting temporal patterns to visualizing, and assessing the results.

Installing

Install either from CRAN

install.packages("dtwSat")

or install the development versions from GitHub

library(devtools)
devtools::install_github("vwmaus/dtwSat")

References

Maus, Victor, Gilberto Camara, Marius Appel, and Edzer Pebesma. 2019. “dtwSat: Time-Weighted Dynamic Time Warping for Satellite Image Time Series Analysis in R.” *Journal of Statistical Software* 88 (5): 1–31. <https://doi.org/10.18637/jss.v088.i05>.

Maus, Victor, Gilberto Camara, Ricardo Cartaxo, Alber Sanchez, Fernando M. Ramos, and Gilberto R. de Queiroz. 2016. “A Time-Weighted Dynamic Time Warping Method for Land-Use and Land-Cover Mapping.” *IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing* 9 (8): 3729–39. <https://doi.org/10.1109/JSTARS.2016.2517118>.